Introduction to algorithms
Graphical Models and Image Processing
ACM Computing Surveys (CSUR)
Multiseeded Segmentation Using Fuzzy Connectedness
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometry of Digital Spaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy-connected 3D image segmentation at interactive speeds
Graphical Models
Cone-beam helical ct virtual endoscopy: reconstruction, segmentation and automatic navigation
Cone-beam helical ct virtual endoscopy: reconstruction, segmentation and automatic navigation
Graph-Theoretical Methods for Detecting and Describing Gestalt Clusters
IEEE Transactions on Computers
Fuzzy Sets and Systems
Fuzzy Sets and Systems
Mosaic animations from video inputs
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Fuzzy segmentation of color video shots
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Texture fuzzy segmentation using adaptive affinity functions
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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Fuzzy segmentation is a technique that assigns to each element in an image (which may have been corrupted by noise and/or shading) a grade of membership in an object (which is believed to be contained in the image). In an earlier work, the first two authors extended this concept by presenting and illustrating an algorithm which simultaneously assigns to each element in an image a grade of membership in each one of a number of objects (which are believed to be contained in the image). In this paper, we prove the existence of such a fuzzy segmentation that is uniquely specified by a desirable mathematical property, show further examples of its use in medical imaging, and illustrate that on several biomedical examples a new implementation of the algorithm that produces the segmentation is approximately seven times faster than the previously used implementation. We also compare our method with two recently published related methods.